Demographics details for Boulder, CO vs Lake butler, FL
Population Overview
Compare main population characteristics in Boulder, CO vs Lake butler, FL.
| Data | Boulder | Lake butler |
|---|---|---|
| Population | 105,485 | 17,765 |
| Median Age | 28.5 years | 43.8 years |
| Median Income | $80,243 | $150,316 |
| Married Families | 28.0% | 55.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Boulder vs Lake butler
- In Boulder, the population is higher at 105,485, compared to 17,765 in Lake butler.
- The median age in Lake butler is higher at 43.8 years, compared to 28.5 years in Boulder.
- Lake butler has a higher median income of $150,316, compared to $80,243 in Boulder.
- In Lake butler, the percentage of married families is higher at 55.0%, compared to 28.0% in Boulder.
- Boulder has a higher poverty level at 12% compared to 10% in Lake butler.
- Lake butler has a higher unemployment rate at 4.5% compared to 4.2% in Boulder.
Demographics
Demographics Boulder vs Lake butler provide insight into the diversity of the communities to compare.
| Demographic | Boulder | Lake butler |
|---|---|---|
| Black | 1 | 6 |
| White | 74 | 53 |
| Asian | 6 | 16 |
| Hispanic | 11 | 12 |
| Two or More Races | 7 | 13 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Boulder vs Lake butler
- In Lake butler, the percentage of Black residents is higher at 6% compared to 1% in Boulder.
- Boulder has a higher percentage of White residents at 74% compared to 53% in Lake butler.
- In Lake butler, the Asian population stands at 16%, greater than 6% in Boulder.
- Lake butler has a higher percentage of Hispanic residents at 12%, compared to 11% in Boulder.
- The percentage of residents identifying as two or more races is higher in Lake butler at 13%, compared to 7% in Boulder.
- A greater percentage of American Indian residents live in Boulder at 1% compared to 0% in Lake butler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boulder | Lake butler |
|---|---|---|
| Mental Health Not Good | 15.2% | 13.0% |
| Physical Health Not Good | 8.9% | 7.3% |
| Depression | 23.3% | 16.3% |
| Smoking | 10.9% | 11.4% |
| Binge Drinking | 19.5% | 15.8% |
| Obesity | 17.5% | 23.4% |
| Disability Percentage | 6.0% | 7.0% |
Health Statistics Comparison: Boulder vs Lake butler
- More residents in Boulder report poor mental health at 15.2% compared to 13.0% in Lake butler.
- Depression is more prevalent in Boulder at 23.3% compared to 16.3% in Lake butler.
- Lake butler has a higher smoking rate at 11.4% compared to 10.9% in Boulder.
- Binge drinking is more common in Boulder at 19.5% compared to 15.8% in Lake butler.
- Lake butler has higher obesity rates at 23.4% compared to 17.5% in Boulder.
- There is a higher percentage of disabled individuals in Lake butler at 7.0% compared to 6.0% in Boulder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boulder | Lake butler |
|---|---|---|
| No Schooling | 0.3% (324) | 0.2% (37) |
| High School Diploma | 2.9% (3,026) | 5.1% (899) |
| Less than High School | 3.3% (3,521) | 2.9% (520) |
| Bachelor's Degree and Higher | 43.6% (46,028) | 41.2% (7,325) |
Education Levels Comparison: Boulder vs Lake butler
- A higher percentage of residents in Boulder have no formal schooling at 0.3% compared to 0.2% in Lake butler.
- In Lake butler, the rate of residents with high school diplomas is higher at 5.1% compared to 2.9% in Boulder.
- More residents in Boulder have less than a high school education at 3.3% compared to 2.9% in Lake butler.
- A higher percentage of residents in Boulder hold a bachelor's degree or higher at 43.6% compared to 41.2% in Lake butler.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.